ELVO-Based Autonomous Satellite Collision Avoidance with Multiple Debris

The frequent occurrence of space debris collision incidents has made research on autonomous satellite avoidance necessary. Against this backdrop, the paper presents a short-term autonomous space debris avoidance algorithm based on the Equivalent Linear Velocity Obstacle (ELVO) paradigm, which addresses the challenges of multiple debris scenarios and real-time decision-making. Error analysis and compensating terms are provided to enhance the algorithm’s accuracy. Simulations are proposed to validate the algorithm, and the simplified design reduces the online computational load, demonstrating its feasibility for future on-orbit usage.

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Publication Details

Journal
Aerospace
Published
2025-05-01
DOI
https://doi.org/10.3390/aerospace12050402
Citations
1
Primary Topic
Space Satellite Systems and Control
Type
article
Field-Weighted Citation Impact
4.99

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article

ELVO-Based Autonomous Satellite Collision Avoidance with Multiple Debris

Chanying Li, Ziyao Li, Hongchao Li
1 citations
Aerospace
Space Satellite Systems and Control
4.99
article

ELVO-Based Autonomous Satellite Collision Avoidance with Multiple Debris

Chanying Li, Ziyao Li, Hongchao Li
article en
1 citations

Abstract

The frequent occurrence of space debris collision incidents has made research on autonomous satellite avoidance necessary. Against this backdrop, the paper presents a short-term autonomous space debris avoidance algorithm based on the Equivalent Linear Velocity Obstacle (ELVO) paradigm, which addresses the challenges of multiple debris scenarios and real-time decision-making. Error analysis and compensating terms are provided to enhance the algorithm’s accuracy. Simulations are proposed to validate the algorithm, and the simplified design reduces the online computational load, demonstrating its feasibility for future on-orbit usage.

AerospaceVol. 12(5)
Chinese Academy of Sciences (CN), Academy of Mathematics and Systems Science (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 6%
Space Satellite Systems and Control
4.99
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